has been cited by the following article(s):
|
[1]
|
Personal Protective Equipment Detection Using Computer Vision Techniques
Day 2 Tue, October 03, 2023,
2023
DOI:10.2118/216253-MS
|
|
|
|
|
[2]
|
GBSG-YOLOv8n: A Model for Enhanced Personal Protective Equipment Detection in Industrial Environments
Electronics,
2023
DOI:10.3390/electronics12224628
|
|
|
|
|
[3]
|
Research on the Detection Method of Electric Power Workers not Wearing Helmets based on YOLO Algorithm
Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence,
2023
DOI:10.1145/3594315.3594326
|
|
|
|
|
[4]
|
Personal Protective Equipment Detection Using Computer Vision Techniques
Day 2 Tue, March 14, 2023,
2023
DOI:10.2118/214093-MS
|
|
|
|
|
[5]
|
Recent Advances in Artificial Intelligence and Data Engineering
Advances in Intelligent Systems and Computing,
2022
DOI:10.1007/978-981-16-3342-3_8
|
|
|
|
|
[6]
|
PPE detector: a YOLO-based architecture to detect personal protective equipment (PPE) for construction sites
PeerJ Computer Science,
2022
DOI:10.7717/peerj-cs.999
|
|
|
|
|
[7]
|
Development of YOLOv5-Based Real-Time Smart Monitoring System for Increasing Lab Safety Awareness in Educational Institutions
Sensors,
2022
DOI:10.3390/s22228820
|
|
|
|